A Novel Strategy for Retrieving Large Scale Scene Images Based on Emotional Feature Clustering
| Autor: | Yueshun He, Wei Zhang, Ping Du, Qiaohe Yang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020205 medical informatics
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Data structure Image (mathematics) Artificial Intelligence Feature (computer vision) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence Scale (map) Cluster analysis business Image retrieval Software |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. 34:2054019 |
| ISSN: | 1793-6381 0218-0014 |
| Popis: | Due to complicated data structure, image can present rich information, and so images are applied widely at different fields. Although the image can offer a lot of convenience, handling such data consume much time and multi-dimensional space. Especially when users need to retrieve some images from larger-scale image datasets, the disadvantage is more obvious. So, in order to retrieve larger-scale image data effectively, a scene images retrieval strategy based on the MapReduce parallel programming model is proposed. The proposed strategy first, investigates how to effectively store large-scale scene images under a Hadoop cluster parallel processing architecture. Second, a distributed feature clustering algorithm MeanShift is introduced to implement the clustering process of emotional feature of scene images. Finally, several experiments are conducted to verify the effectiveness and efficiency of the proposed strategy in terms of different aspects such as retrieval accuracy, speedup ratio and efficiency and data scalability. |
| Databáze: | OpenAIRE |
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